As the global race for artificial intelligence (AI) consumes vast oceans of electricity and pushes modern utility grids to the brink, a team of California researchers is looking to biological neuroscience to build an entirely new class of energy-efficient microelectronics. Their objective is straightforward but radical: reverse-engineer the human brain to solve the semiconductor industry’s looming power and thermal bottlenecks.